Haitao Zhou (周海涛)

I am a Master's student from Beihang University(BUAA). And I am also an algorithm intern of AIsphere, where I work on video generation.

I got my Undergraduate's degree from the BUAA.

Recently, my research focuses on deep generative models(Diffusion models and its application) and sketch&SVG generation.

profile photo

Publications (* equal contribution, corresponding author)

TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Haitao Zhou*, Chuang Wang*, Rui Nie, Jinxiao Lin, Dnogdong Yu, Qian Yu, Changhu Wang
Association for the Advancement of Artificial Intelligence(AAAI), 2025
Paper

SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation
Xingming Xing, Qian Yu, Chuang Wang, Haitao Zhou, Jing Zhang, Dong Xu
Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), 2025
arXiv / Code GitHub stars

SVGDreamer: Text Guided SVG Generation with Diffusion Model
Xingming Xing, Haitao Zhou, Chuang Wang, Jing Zhang, Dong Xu, Qian Yu
Computer Vision and Pattern Recognition(CVPR), 2024
Paper / Code GitHub stars
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
Xingming Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu
Neural Information Processing Systems (NeurIPS), 2023
Paper / Code GitHub stars

Preprints (* equal contribution, corresponding author)

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Xingming Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu
arXiv, 2023
arXiv / Code GitHub stars

Projects

PyTorch-SVGRender

PyTorch-SVGRender is the go-to library for differentiable rendering methods in SVG generation. It supports a variety of vectorization methods, including: Image-to-SVG, Text-to-SVG, Text-to-Sketch.

Based on Pytorch, 2023
Project Page / Doc / Code GitHub stars

Work Experience

AIsphere (Algorithm Intern)
2023.05 ~ Now
Main Responsibilities:
  • The construction and tuning of the basic model of video generation
  • Video super-resolution model development
  • Lead person for the Magic Brush project

Awards

ACM-ICPC Asia Regional Contest
Silver Medal, 2019
Freshman Scholarship
Beihang University, 2023
Huawei Smart Dock Scholarship
2023
Outstanding Graduate
Beihang University, 2023
Outstanding Student Award (Top 5%)
Beihang University, 2020-2022

Professional Activities

  • Reviewer for CVPR 2024~2025, MM 2024, AAAI 2025, ICCV 2025


Interests

  • Reading
  • Coding
  • Harmonica
  • Indie Games

Design and source code from Jon Barron.